Create Desc.rst

Author: ahwankumar

Desc.rst

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+==================
+   RetailTree
+==================
+
+Introduction
+------------
+
+RetailTree is a Python library for implementing decision trees in retail analytics. It provides a set of tools and algorithms to build, visualize, and analyze decision trees tailored for retail datasets. This library aims to simplify the process of understanding customer behavior, predicting sales trends, and optimizing marketing strategies for retail businesses.
+
+Key Features
+------------
+
+- **Easy-to-use API**: RetailTree offers a simple and intuitive API for building decision trees, making it accessible for both beginners and experienced users.
+- **Visualizations**: Generate visual representations of decision trees to gain insights into customer segmentation, product recommendations, and sales forecasting.
+- **Customizable**: Fine-tune decision tree parameters to suit specific retail scenarios and business objectives.
+- **Scalable**: Efficient algorithms ensure fast performance even with large-scale retail datasets.
+- **Interpretability**: Understandable decision trees allow for clear interpretation of results, aiding in actionable insights for retail businesses.
+- **Integration**: Seamlessly integrate RetailTree into existing data analysis pipelines with support for popular Python libraries such as Pandas and NumPy.
+
+Installation
+------------
+
+You can install RetailTree via pip:
+
+.. code-block:: bash
+
+    pip install retailtree
+
+Usage
+-----
+To be updated.